Data Annotation for AI in Construction
Get training data for construction AI systems across site progress, safety monitoring, defect detection, and BIM-linked inspection.
REQUEST PILOTTrusted by
200+ customers
Solving Construction AI Data Challenges for
Construction Technology Companies
Site imagery varies by trade, angle, and build stage
Inconsistent labels break BIM-to-reality element matching
Taxonomies lag as new trades and work packages enter the site
AI in Construction Safety Teams
PPE and fall-protection classes are underrepresented
Workers, lifts, and materials obscure safety-critical scenes
QA reviewers disagree on PPE compliance
Digital Construction Vendors & Contractors
Class taxonomies shift from excavation to structure to finishing
Objects need consistent IDs across weekly scans
Subcontractors use different labels for the same components
Featured Client Story
Overview
For a major German construction firm, Label Your Data annotated road imagery across 22 defect types to train an automated crack detection model. See how our training data improved pavement analysis accuracy.
Results
images in the dataset
road cracks per image
classifications of defect areas
AI Use Cases in Construction We Support
Build computer vision construction models to track progress, work packages, and rework risk.
Train models for AI in construction safety using site video and imagery.
Train construction tech models to detect defects and quality issues in site imagery.
Build 3D ground truth for point cloud to BIM and digital twin construction workflows.
Structure drawings, RFIs, specs, and reports for AI-assisted project controls.
Build computer vision construction models to track progress, work packages, and rework risk.
Train models for AI in construction safety using site video and imagery.
Train construction tech models to detect defects and quality issues in site imagery.
Build 3D ground truth for point cloud to BIM and digital twin construction workflows.
Structure drawings, RFIs, specs, and reports for AI-assisted project controls.
How We Work
Discovery
call
Book a call or fill out a contact form to discuss your needs with our team.
Pilot
project
Send sample data and receive annotations at no cost to evaluate quality.
Custom
proposal
Get a tailored plan with scope, timelines, and transparent pricing.
Data
annotation
Scale up with dedicated, vetted teams and multistep QA workflows.
Delivery
and iteration
Receive export-ready data and iterate as your model evolves.
Estimate Your Costs
For other use cases
send us your request to receive a custom calculation
Send your sample data to get the precise cost FREE
Why Construction AI Teams Choose Label Your Data
Data Annotation for Complex Environments
Rely on consistent, high-quality output for complex datasets, detailed taxonomies, and edge cases.
Structured Quality from Pilot to Production
Get quality engineered into every step through onboarding, evolving guidelines, QA, and continuous feedback.
Flexible and Scalable Operations
Adjust team capacity, project size, and delivery model as you scale, with no setup fees or long-term lock-ins.
An Integrated Delivery Partner
Align on goals, workflows, and expectations with a team that integrates into your process from day one.
Projects Led by Annotation Experts
Work with former annotators who understand annotation complexity, quality standards, and high-volume delivery.
Scale Complex AI for Construction
with Consistent Training Data
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After running pilots with several annotation providers, Label Your Data delivered the strongest results by a clear margin, standing out on turnaround time, annotation quality, and the responsiveness of their feedback loops.
Maxime Debarbat
Senior ML Engineer (GenAI)
Trusted by ML Professionals
FAQs
How can AI be used in construction?
Artificial intelligence in construction can support progress tracking, site safety, defect detection, BIM-to-reality matching, digital twins, and document processing. Label Your Data prepares the labeled imagery, video, LiDAR, and project data these systems need for training and evaluation.
Can AI read construction plans and documents?
Yes, AI can extract and classify information from construction drawings, RFIs, specifications, contracts, and reports when trained on structured examples. Label Your Data provides construction data services for document AI, including entity annotation, BIM instruction and Q&A data, and contract or compliance tagging for NLP and project-control workflows.
How does Label Your Data handle worker safety and privacy in site video?
Site footage can capture identifiable workers, attendance patterns, and behavior. For AI in construction safety, Label Your Data scopes workforce-monitoring footage separately from general progress data, applies restricted access, and supports region-specific data handling requirements on request.
Can you scale construction AI annotation as a site moves through project phases?
Our construction data services scale with changing project phases, annotation volumes, and taxonomies. As a site moves from excavation to structure and finishing, Label Your Data adjusts class structures, sampling, and QA instead of applying one fixed taxonomy across the entire build.
How does Label Your Data compare to a generalist annotation vendor for construction AI?
Generalist annotation vendors typically staff one team against a fixed guideline for the life of a project. The Label Your Data team keeps the same annotators on your build from discovery through delivery, so they learn your construction site’s phase transitions and taxonomy changes firsthand instead of relearning them each time volume ramps up or a new team gets rotated in.